Skip to main content
  • Home
  • Solutions
  • Use case
  • Customer Experience

Unified customer experiences made hyper-personalized and effortless

Connect all customer touchpoints and deliver deep insights to build seamless experiences at scale.

Experiences with predictive insights powered by Intelligent Automation

insights simplified

Deep Insights Simplified

Data insights are made easy to understand and work with that show really what is happening with the customer.

Customer Lifetime Value

Customer Lifetime Value

Understand the possible total value of the customer over their lifetime to allocate appropriate resources.

decision-making process

Human in The Loop

Easy to use, with day-to-day decision-making process without requiring a Ph.D. in computer science.

We have helped to transform their customer experience agenda

  • customer-logo-adobe.jpg
  • customer-logo-broadridge.jpg
  • customer-logo-deckers.jpg
  • customer-logo-fidelity.jpg
  • customer-logo-fossil.jpg
  • customer-logo-oracle.jpg

According to McKinsey, Armed with advanced analytics, customer-experience leaders gain rapid insights to build customer loyalty, make employees happier, achieve 5 to 10 percent revenue gains, and reduce costs by 15 to 25 percent within two or three years.


High-quality predictive customer Insights for all teams

Centralize and mine data touchpoints to create an insight engine for action. 

  • Unified customer 360 views

    Create Unified Customer Views

    The ability to create customer 360 views is at the core of an omnichannel strategy.

    Easily integrate customer engagement data from many sources to drive rapid business processes.

    Use this data to surface insights and trigger process steps.

  • Best of breed system integration and process orchestration

    Optimize Best of Breed

    Best-of-breed systems were never made to work well together.

    To optimize the customer experience process and unlock the friction, organizations need a composable data platform.

    Enable best-in-class operational processes to serve the customer.

  • Decision process automation use case

    Amplify decision automation

    There's often too much data scattered across multiple systems to effectively make high quality decisions.

    To enable high-quality decisions at scale powerful data solutions that leverage AI and machine learning need to be brought to the frontline at part of the engagement process.

    Tools that make it easy for the untrained professional to leverage data science and not be a technical developer.


What Unlocks a Powerful Customer Experience?

Scales End to End

Is able to connect the end to end experience that starts with the direct customer straight through to fulfillment and service.

Ability to Change Quickly

As the world and events change quickly so does the market, any model that you use needs to constantly mine new information.

Deep Insights Simplified

Data insights are made easy to understand and work with that show really what is happening with the customer.

Works With Humans

Be easy to use as part of a professionals day to day to decision process without requiring a Phd in computer science.

Orchestrated Customer Journey

The ability to create composable customer journeys that can be integrated into your own internal processes

Unlocks Deep Personalization

Content to commerce to contracts are all part of the experience which need to be structured in just the right way for each buyer persona.

Customer Lifetime Value - CLV

Being able to understand what the possible total value is of that customer over their lifetime so you can allocate appropriate resources.

Shows ROI Clearly

Can take complex predictions and break them down into simple categories like probability to purchase or cost of customer acquisition.

More solutions to take your customer experience to the next-level

The Key for Better Customer Experiences

Learn how to optimize processes and interactions across all touchpoints. Access the unified view of customer data and lower costs of acquisition.

How to Create a Customer Experience Strategy

Based on market feedback, the customer experience strategy can be effectively applied to both B2B and B2C scenarios.

How to Predict Customer Behavior and Analyze the Demand

Quickly identify intent within large data sets, connect insights into action with embedded integration, and monitor insights on the intelligent dashboard.


Discover B2B Customer Experience trends by industry

Customer Experience in Banking

Customer experience is mission critical in the banking industry  – one recent market research found that banks could expect a 27.5% growth rate simply by improving their customer experience scores by 10%.

The omnichannel experience offers the perfect way to build the connection between online banking and a traditional face-to-face service. Banks can provide customers with a choice of channels and allow them to switch from one to another without disrupting or fragmenting their journey.

A significant advantage is that banks can quickly and efficiently resolve problems, respond faster to customer needs and save on support costs. By providing a more personalized experience, banks become more flexible, adapting to customers’ needs. All this impacts loyalty and increases customer satisfaction.

High-Tech B2B Customer Experience

Today, high-tech organizations are focused on delivering differentiated customer experiences and have already implemented data platforms and AI in their businesses to better understand customers and accelerate growth and loyalty.

According to an Adobe survey, 59% of high-tech customers have made analytics, data management, and customer data platforms a top technological priority to enhance the customer experience.

Data management, analytics, and artificial intelligence became essential to move forward. High-tech businesses that invest in and adopt these technologies effectively will be better positioned to deliver more hyper-relevant, personalized experiences.

Customer Experience in Retail

Retail organizations work hard to create a personalized experience for customer engagement. Customer experience management solutions help organizations understand their customers' needs and deliver an excellent customer experience.

Personalized experiences help retailers to customize offers across all channels, capture the most preferred channels to interact, engage customers in real-time via interactive conversations, make the best value proposition, promote cross/up-sell at the right time, and gain long-term opportunities. 

All this helps to solve pressing challenges such as the inability to engage customers in preferred channels, limited data analysis and lack of automation.

B2B Telecom Customer Experience

Customer service and digital experiences are vital points for B2B telecom businesses. Investing in digital channels and innovative technologies allows them to maintain a competitive edge. 

Connected experiences help to analyze customer journeys, providing personalized experiences and interactions across multiple channels. With live chats, text chats, mobile accessibility, virtual support self-service and more, telcos can increase their agility and provide intuitive experiences.

Embedding AI solutions makes collecting more data and providing better assistance easier. The same happens with omnichannel services; it helps to get seamless transitions from multiple ways of communication.

Customer Experience in Healthcare

A seamless end-to-end experience can be provided to patients by improving interactions between the healthcare provider and customers across multiple touch points. Through the transition from selecting healthcare providers to scheduling appointments, retention at each stage can be improved by using innovative customer experience solutions.

Tasks such as checking doctors' availability, scheduling appointments, making eligibility checks, processing insurance claims, and data migrations can be easily automated through AI. All this brings many benefits: it increases the provider-patient trust levels, enhances loyalty, and increases patient satisfaction.

Put It Forward Integrated Customer Experience

FAQ about Customer Experience

How does customer experience automation play a role in optimization?

Customer experience automation streamlines processes and workflows, reducing manual effort and enhancing efficiency. Businesses can focus on delivering higher-value interactions by automating repetitive tasks, ultimately optimizing the customer experience.

How does traditional customer experience analytics contribute to optimization?

Traditional customer experience analytics involves analyzing customer data to identify trends, patterns, and areas for improvement, which in turn informs strategies for optimizing the customer journey.

How do real-time customer experience analytics contribute to optimization?

Real-time customer experience analytics work in line with events and actions that are happening with your customers across all points of engagement to offer an on-the-fly insight to inform things like the next best action, perfect content, or message to send.

What is involved in customer experience transformation?

Customer experience transformation entails overhauling processes, systems, and strategies to enhance the customer journey, often leveraging digital technologies and insights from customer experience analytics.

How does a digital customer experience strategy impact optimization?

A digital customer experience strategy focuses on leveraging digital channels and technologies to enhance customer interactions, thereby optimizing the overall customer journey and driving improved outcomes.

What are customer experience KPIs, and why are they important for optimization?

Customer experience KPIs (Key Performance Indicators) are metrics used to measure the effectiveness of customer interactions and satisfaction levels. Monitoring these KPIs is crucial for identifying improvement areas and guiding optimization efforts.

How do customer experience software and analytics tools contribute to optimization?

Enterprise customer experience software such as marketing, sales and service working with analytics tools provide insights into customer behavior, preferences, and pain points, enabling businesses to identify optimization opportunities and tailor strategies accordingly.

What is omnichannel customer experience, and how does it relate to optimization?

Omnichannel customer experience involves providing a seamless and integrated experience across all channels. Optimizing omnichannel experiences ensures consistency and personalization across touchpoints, enhancing overall customer satisfaction.

What are some customer experience solutions available for optimization purposes?

Customer experience solutions encompass a large number of technologies and processes such as customer onboarding, quote to cash and delivery, voice of the customer, lifetime value, cross-sell and upsell, and revenue operations.